Narender Kumar

Lead AI Engineering, ML, Data Engineering, and Analytics initiatives across enterprise platforms. Built and scaled capabilities across GenAI, LLMs, Agentic AI, Deep Learning, NLP, MLOps, LLMOps, Databricks, Lakehouse, BI, and AI engineering.

Led fraud analytics and machine learning initiatives for Consumer and Small Business banking. Applied Decision Trees, KNN, data mining, and statistical techniques to identify fraud patterns and develop counter-fraud strategies.

Led large-scale data engineering, regulatory modeling, credit risk, and IFRS9 initiatives. Developed CCAR data engineering solutions processing 1B+ transactions per month and PD/LGD credit risk models using SAS.

Developed enterprise Data Lake, data processing, risk segmentation, and predictive modeling solutions for Insurance business lines. Built end-to-end modeling datasets using SAS, SQL, SSIS, Spark, and Hive.

Developed an end-to-end ML-based Insurance Analytics solution for a US personal insurer. Built a machine learning classifier to predict property-claims handling channels, reducing claims processing cost by approximately 40% / $120K.

Developed and maintained reports and analyzed data issues for a multi-million-pound financial application used by UK fund managers. Worked with SQL Server, Visual Basic, MS Access, and MS Excel.

Developed and migrated Microsoft technology websites for the Asia region using VB.NET, C#, HTML, and MS SQL Server.

Developed inventory tracking software using VB.NET and MS SQL Server for a global telecommunications equipment provider.

Executive Programme in Leadership and Management from IIM Calcutta in 2021.

Certified Statistical Business Analyst from SAS, covering regression and modeling.

Certified Base Programmer from SAS.

Certified Technology Specialist in SQL Server 2005 from Microsoft.

Certified Professional Developer in Web Development from Microsoft.

Completed Machine Learning course by Andrew Ng from Stanford University via Coursera.